Data Engineer I

🏢 Summary: Senior Data Engineer role supporting a DoD client, focused on building secure metadata extraction, ingestion, and integration pipelines within an enterprise data governance and federated catalog ecosystem. The position involves developing scalable automation workflows, lineage tracking, and schema extraction solutions aligned with centralized repository and cloud ingestion requirements. This role is contingent upon contract award and emphasizes secure, compliant data engineering practices. 🗂️ Requirements: Proven experience building and managing data pipelines, Hands-on experience with ETL/ELT processes, Experience developing metadata harvesting solutions, Strong proficiency in SQL, Strong proficiency in Python and/or R, Experience with AWS and/or Azure cloud platforms, Experience implementing API-based data exchange, Experience with lineage tracking and metadata synchronization, Strong knowledge of data governance frameworks and metadata standards, Experience working with legacy and distributed data environments, Eligibility for Tier 1 background investigation 📃 Skills: SQL, Python, R, AWS, Azure, ETL, ELT, APIs, Metadata, Lineage, Automation, Schemas, DataGovernance, Cloud, AI 🏢 Description: Andrew Morgan, LLC is a rapidly growing Service-Disabled Veteran-Owned Small Business (SDVOSB) and HUBZone-certified organization. We are seeking a qualified Senior Data Engineer to support a potential contract award with a DOD Client. This role is contingent upon contract award and will play a critical part in our efforts to deliver exceptional results for this opportunity. The Senior Data Engineer leads technical metadata extraction, pipeline development, and secure data integration activities supporting DHA's enterprise data governance and federated catalog ecosystem. Execute technical metadata extraction and structured discovery from DHA data sources. Develop ingestion pipelines, validation scripts, and migration workflows for the centralized repository. Create automation pipelines and harvesting connectors for metadata extraction and tagging. Implement secure metadata exchange pipelines and lineage propagation for federated catalogs. Develop and test lifecycle automation scripts, validation pipelines, and governance workflows. Support automated schema extraction, lineage capture, and AI-assisted enrichment. Ensure automation pipelines are scalable and compatible with DHA-EDC ingestion requirements. Collaborate with governance leads to align engineering workflows with validated governance decisions. REQUIREMENTS: Proven expertise in building and managing data pipelines, ETL/ELT processes, and metadata harvesting solutions. Skilled in SQL, Python, and/or R for data engineering and automation. Hands-on experience with cloud data platforms (AWS and/or Azure) and enterprise integration patterns. Proficient in implementing API-based data exchange, lineage tracking, and metadata synchronization. Strong grasp of data governance frameworks and metadata standards. Experience with legacy, heterogeneous, and distributed data environments. Preferred background in DoD, federal healthcare, or compliance-driven settings. Must be eligible for Tier 1 background investigation. SALARY: Salary is commensurate with both location and experience. THE AM EMPLOYEE WILL DISPLAY… Attention to Detail: Produce high-quality deliverables and outputs that align with contract outcomes. Self-Sufficiency: Execute tasks independently, seeking client assistance only after internal resources are exhausted, ensuring requests align with contract goals. Teamwork: Collaborate effectively with team members, including AMC resources, subcontractors, and government stakeholders. Communication/Engagement: Maintain professional conduct in meetings and written communication, participating actively with cameras on. Responsiveness: Stay engaged, communicate promptly, and ensure deadlines are consistently met. ABOUT ANDREW MORGAN… Andrew Morgan, LLC, founded in 2017 and headquartered in Alexandria, VA, is a Service-Disabled Veteran Owned Small Business (SDVOSB) and a certified HUBZone Small Business. We specialize in delivering high-quality consulting services to both federal and commercial clients, offering expertise in Strategy and Management Consulting, Technology & Architecture Services, and Industry & Mission Analytics Solutions. Our distinguished clientele includes the Department of Veterans Affairs (VA), National Aeronautics and Space Administration (NASA), the Department of Defense (DoD), and the United Stated Army Corps of Engineers (USACE). We are committed to providing innovative solutions and exceptional service to support our clients' missions and objectives. BENEFITS: 15 days of Paid Time Off + 11 Paid Federal Holidays 401K Program (up to 5% employer matching) Three Gold Healthcare Options (with 75%-90% employer-paid premiums) Flexible Spending Account / Dependent Care Assistance Program Employer Paid Short Term Disability Professional Training and Development Corporate Team Building Events And MORE! Join AM Today! EQUAL OPPORTUNITY EMPLOYER: Andrew Morgan Consulting does not discriminate in employment opportunities, terms and conditions of employment, or practices. All qualified applicants will receive consideration for employment without regard to race, age, gender, religious or political beliefs, national origin or heritage, disability, sexual orientation, protected veteran status, or any characteristic protected by law.

🏢 Summary: Opportunity for Data Analysts (Level I and Level II) supporting a DoD client, focused on data analysis, financial systems analytics, automation, and reporting within secure government environments. The role involves building reports, dashboards, automation scripts, and ensuring financial data traceability across multiple systems. Candidates will contribute to analytics, audit support, and AI/RPA initiatives. 🗂️ Requirements: Active Secret Clearance, 2-5 years of relevant experience, Bachelor's degree or equivalent experience, Experience with data analysis and reporting, Experience with financial data reconciliation and traceability, Experience with BI tools, Proficiency in Python, SQL, or R, Knowledge of data pipelines and system integration, Experience working with financial system data environments 📃 Skills: Python, SQL, R, PowerBI, Qlik, Databricks, DEAMS, GAFS-R, DDRS, Advana, VAULT, AI, ML, RPA 🏢 Description: Andrew Morgan LLC (AM) is a fast-growing Service-Disabled Veteran-Owned Small Business (SDVOSB) and HUBZone SB. We are seeking two qualified Data Analysts at varying experience levels to join our team supporting our Department of Defense (DoD) Client. RESPONSIBILITIES: Data Analysts Level I Support data analysis, cleansing, and reporting efforts Assist with data calls, audit samples, and reporting requirements Develop basic visualizations and reports Knowledge of: Data analysis and reporting Databases or visualization tools Data structures and analysis basics Accountant Level II Perform advanced analytics supporting UoT, FSCR, P2P, and Asset Reporting Develop automation scripts, reconciliation tools, and dashboards Support end-to-end transaction traceability (UoT framework) Analyze data flows across financial systems (DEAMS, GAFS-R, DDRS, etc.) Support AI/ML, RPA, and automation initiatives Knowledge of: Data analytics and automation Financial data reconciliation and traceability BI tools (Power BI, Qlik, Databricks) Python, SQL, R, or similar Data pipelines and system integration Financial system data environments REQUIREMENTS: Active Secret Clearance 2-5 years of relevant experience Bachelor's degree (or equivalent experience) Strong communication and documentation skills PREFERRED QUALIFICATIONS: Experience with UoT or audit analytics Familiarity with Advana, VAULT, or DoD data environments Experience supporting FIAR or audit data calls SALARY: Salary is commensurate with both location and experience. THE AM EMPLOYEE WILL DISPLAY… Attention to Detail: Produce high-quality deliverables and outputs that align with contract outcomes. Self-Sufficiency: Execute tasks independently, seeking client assistance only after internal resources are exhausted, ensuring requests align with contract goals. Teamwork: Collaborate effectively with team members, including AMC resources, subcontractors, and government stakeholders. Communication/Engagement: Maintain professional conduct in meetings and written communication, participating actively with cameras on. Responsiveness: Stay engaged, communicate promptly, and ensure deadlines are consistently met. ABOUT ANDREW MORGAN… Andrew Morgan LLC, founded in 2017 and headquartered in Alexandria, VA, is a Service-Disabled Veteran Owned Small Business (SDVOSB) and a certified HUBZone Small Business. We specialize in delivering high-quality consulting services to both federal and commercial clients, offering expertise in Strategy and Management Consulting, Technology & Architecture Services, and Industry & Mission Analytics Solutions. Our distinguished clientele includes the Department of Veterans Affairs (VA), National Aeronautics and Space Administration (NASA), the Department of Defense (DoD), and the United Stated Army Corps of Engineers (USACE). We are committed to providing innovative solutions and exceptional service to support our clients' missions and objectives. BENEFITS: 15 days of Paid Time Off + 11 Paid Federal Holidays 401K Program (up to 5% employer matching) Three Gold Healthcare Options (with 75%-90% employer-paid premiums) Flexible Spending Account / Dependent Care Assistance Program Employer Paid Short Term Disability Professional Training and Development Corporate Team Building Events And MORE! Join AM Today! EQUAL OPPORTUNITY EMPLOYER: Andrew Morgan does not discriminate in employment opportunities, terms and conditions of employment, or practices. All qualified applicants will receive consideration for employment without regard to race, age, gender, religious or political beliefs, national origin or heritage, disability, sexual orientation, protected veteran status, or any characteristic protected by law.

🏢 Summary: Opportunity for Business Transformation Analysts (Level I and II) to support a Department of Defense client by driving process improvement, audit support, and financial transformation initiatives within federal environments. The role focuses on process documentation, automation, audit remediation, and implementation of standardized governance frameworks. Candidates will contribute to large-scale transformation efforts within DoD financial and operational domains. 🗂️ Requirements: Active Secret Clearance, 2-5 years of relevant experience, Bachelor's degree or equivalent experience, Experience in business process analysis and process documentation, Experience with audit support and remediation initiatives, Experience in federal or DoD business environments 📃 Skills: A-123, FSCR, P2P, UoT, RMF, FISCAM, FIAR, Audit, Automation, ProcessMapping, SOP, Governance, Transformation, FinancialOperations 🏢 Description: Andrew Morgan LLC (AM) is a fast-growing Service-Disabled Veteran-Owned Small Business (SDVOSB) and HUBZone SB. We are seeking two qualified Business Transformation Analysts at varying experience levels to join our team supporting our Department of Defense (DoD) Client. RESPONSIBILITIES: Business Transformation Analyst Level I Support process documentation and improvement initiativesAssist in transformation, automation, and change effortsSupport development of SOPs and process flows Knowledge of: Business process analysisTransformation initiatives Process mapping and documentation Business Transformation Analyst Level II Lead process transformation across A-123, FSCR, P2P, UoT, and Asset ReportingAnalyze current-state processes and design future-state solutionsSupport audit plan execution and audit remediation strategyDrive process standardization, automation, and efficiency improvementsDevelop training materials, SOPs, and governance frameworksKnowledge of: IT audit, RMF, FISCAM Financial/business transformationAudit remediation and process improvementAutomation and strategic initiatives Financial operations and audit frameworksTransformation methodologiesFederal/DoD business environments REQUIREMENTS: Active Secret Clearance 2-5 years of relevant experience Bachelor's degree (or equivalent experience) PREFERRED QUALIFICATIONS: FIAR / A-123 / audit remediation experience Experience supporting large-scale federal transformations Air Force financial operations familiarity SALARY: Salary is commensurate with both location and experience. THE AM EMPLOYEE WILL DISPLAY… Attention to Detail: Produce high-quality deliverables and outputs that align with contract outcomes. Self-Sufficiency: Execute tasks independently, seeking client assistance only after internal resources are exhausted, ensuring requests align with contract goals. Teamwork: Collaborate effectively with team members, including AMC resources, subcontractors, and government stakeholders. Communication/Engagement: Maintain professional conduct in meetings and written communication, participating actively with cameras on. Responsiveness: Stay engaged, communicate promptly, and ensure deadlines are consistently met. ABOUT ANDREW MORGAN… Andrew Morgan LLC, founded in 2017 and headquartered in Alexandria, VA, is a Service-Disabled Veteran Owned Small Business (SDVOSB) and a certified HUBZone Small Business. We specialize in delivering high-quality consulting services to both federal and commercial clients, offering expertise in Strategy and Management Consulting, Technology & Architecture Services, and Industry & Mission Analytics Solutions. Our distinguished clientele includes the Department of Veterans Affairs (VA), National Aeronautics and Space Administration (NASA), the Department of Defense (DoD), and the United Stated Army Corps of Engineers (USACE). We are committed to providing innovative solutions and exceptional service to support our clients' missions and objectives. BENEFITS: 15 days of Paid Time Off + 11 Paid Federal Holidays 401K Program (up to 5% employer matching) Three Gold Healthcare Options (with 75%-90% employer-paid premiums) Flexible Spending Account / Dependent Care Assistance Program Employer Paid Short Term Disability Professional Training and Development Corporate Team Building Events And MORE! Join AM Today! EQUAL OPPORTUNITY EMPLOYER: Andrew Morgan does not discriminate in employment opportunities, terms and conditions of employment, or practices. All qualified applicants will receive consideration for employment without regard to race, age, gender, religious or political beliefs, national origin or heritage, disability, sexual orientation, protected veteran status, or any characteristic protected by law.

🏢 Summary: Alteryx Data Analytics Consultant role supporting a federal client, focused on cloud data management, ETL, data modeling, and advanced analytics. The position involves designing and implementing complex analytic solutions, integrating diverse data sources, and delivering dashboards and reports using modern data and visualization tools. This role is contingent upon contract award and centers on technical delivery of data-driven solutions. 🗂️ Requirements: Bachelor's Degree in Computer Science, Information Technology, or related field, 2+ years of experience in data analysis using ETL and visualization tools, Experience in data refinement and interpretation, Familiarity with Agile development methodologies, Proficiency in creating dashboards, reports, and presentation materials using data tools 📃 Skills: Alteryx, Apptio, PowerBI, Tableau, Azure, AWS, ETL, RPA, APIs, DataModeling, BigData, Agile 🏢 Description: Andrew Morgan, LLC is a growing Service-Disabled Veteran-Owned Small Business (SDVOSB) and HUBZone-certified organization. We are looking for a qualified Alteryx Data Analytics Consultant to support a potential contract with a Federal Client. This role is contingent upon contract award and will be crucial in delivering exceptional results. RESPONSIBILITIES: Lead client projects in cloud data management, data modeling, ETL, big data, and data analytics. Design and execute complex analytic solutions using various tools and techniques for optimal client outcomes. Implement complex data models from diverse data sources and APIs. Enable seamless data integration and resilient processes using tools like Alteryx, Apptio, Power BI, Tableau, RPA tools, Azure, and AWS. Demonstrate advanced knowledge of data modeling and management techniques. Leverage database systems for business, financial, and operational analysis and reporting. Facilitate data management and visualization discussions with clients to achieve project goals. Develop metrics and KPIs that provide actionable insights for business leaders. Create engaging data visualizations and reports using Alteryx and Apptio that align with stakeholder strategies. Analyze data to determine appropriate metrics for the project. Prepare briefing materials and assist in client meetings and documentation. Support change management activities for successful adoption of deliverables. Manage multiple workstreams within budget and schedule. REQUIREMENTS: Bachelor's Degree in Computer Science, Information Technology, or a related field. 2+ years of experience in data analysis using ETL and Visualization tools. Familiarity with Agile Development methodologies. Experience in data analysis, including data refinement and interpretation. Proficient in creating effective materials (PowerPoint decks, dashboards, reports). Strong organizational skills and attention to detail. Proactive in identifying improvements for client delivery. Ability to work independently with minimal supervision. Excellent written and verbal communication skills for diverse client interactions. PREFERRED QUALIFICATIONS: Experience in federal government or commercial consulting. Familiarity with cloud technologies (AWS, Azure, GCP). Understanding of advanced data visualization tools (Alteryx, Apptio, Tableau, Power BI) and analytics. Industry experience in healthcare, financial management, or operations. Proficiency in VB.NET, C#, Python, or JavaScript. SALARY: Salary is commensurate with location and experience. THE AM EMPLOYEE WILL DISPLAY… Attention to Detail: Deliver high-quality outputs aligned with contract outcomes. Self-Sufficiency: Execute tasks independently, seeking client assistance only when necessary. Teamwork: Collaborate effectively with team members and stakeholders. Communication/Engagement: Maintain professionalism in meetings and written communication. Responsiveness: Stay engaged and communicate promptly to meet deadlines. ABOUT ANDREW MORGAN… Founded in 2017 and headquartered in Alexandria, VA, Andrew Morgan, LLC is a Service-Disabled Veteran Owned Small Business (SDVOSB) and HUBZone certified. We provide high-quality consulting services to federal and commercial clients in Strategy and Management Consulting, Technology & Architecture Services, and Industry & Mission Analytics Solutions. Our clients include the Department of Veterans Affairs (VA), NASA, the Department of Defense (DoD), and the U.S. Army Corps of Engineers (USACE). We are dedicated to delivering innovative solutions and exceptional service to support our clients' missions. BENEFITS: 15 days of Paid Time Off + 11 Paid Federal Holidays 401K Program (up to 5% employer matching) Three Gold Healthcare Options (with 75%-90% employer-paid premiums) Flexible Spending Account / Dependent Care Assistance Program Employer Paid Short Term Disability Professional Training and Development Corporate Team Building Events And MORE! Join AM Today! EQUAL OPPORTUNITY EMPLOYER: Andrew Morgan Consulting does not discriminate in employment opportunities or practices. All qualified applicants will be considered for employment without regard to race, age, gender, religion, national origin, disability, sexual orientation, protected veteran status, or any characteristic protected by law.

🏢 Summary: The offer is for an Operations Research Systems Analyst supporting DoD acquisition programs focused on IT and health technology. The role applies operations research and data analysis methods to develop cost estimates, affordability analyses, and decision-support models. It involves collaborating with finance and technical teams to deliver data-driven insights, forecasting, and executive-level reporting. 🗂️ Requirements: Bachelor's degree in Operations Research, Applied Mathematics, Statistics, Engineering, Economics, Finance or related field, 3+ years experience in operations research, cost analysis, data analysis or financial modeling, Experience supporting DoD, government acquisition or large-scale IT/health programs, Application of quantitative methods such as optimization, simulation, statistical modeling, Proficiency in Python, R, MATLAB, Excel or Arena, Advanced Excel and SQL for cost estimation and lifecycle analysis, Experience with affordability assessments, forecasting and trade-space evaluations, Knowledge of budgeting, forecasting and cost-benefit analysis, Understanding of IT system architectures and lifecycle costs, Experience with financial systems and data visualization platforms, Experience extracting data from federal and industry databases, Knowledge of DoD acquisition and cost-estimating policies (PPBE, 5000-series, JCIDS) 📃 Skills: Python, R, MATLAB, Excel, SQL, Arena, PowerBI, Tableau, OneStream, SAP, Workday, ACEIT, SEER, PRICE, PPBE, JCIDS, FPDS, SAM, GAO, KLAS, Statistica 🏢 Description: Andrew Morgan LLC (AM) is a fast-growing Service-Disabled Veteran-Owned Small Business (SDVOSB) and HUBZone SB. We are currently seeking a qualified Operations Research Systems Analyst to join our team supporting our DoD Federal Client. RESPONSIBILITIES: The Operations Research Systems Analyst (ORSA) will provide subject matter expertise in support of DoD acquisition programs focused on IT and health technology. This role requires close collaboration with the Financial Planning & Analysis (FP&A) Team and other stakeholders to apply operations research and data analysis methodologies that inform decision-making and support the development of defensible cost estimates. Design and apply operations research (OR) methodologies (e.g., AoA, BCA, Monte Carlo simulation, regression) to support cost estimates, affordability analyses, and trade-space studies for acquisition programs Conduct market and technology research to inform acquisition planning, assess vendor capabilities, support data-driven investment recommendations Evaluate the impact of proposed policies, programs, and projects through quantitative and qualitative analysis Analyze historical and current cost, schedule, and performance data to refine forecasting and scenario modeling Translate complex technical and analytical findings into executive-level briefings, reports, and presentations for both technical and non-technical audiences Collaborate with finance, contracting, program, IT, and technical teams to validate assumptions, enhance data consistency across systems, and ensure alignment with FP&A goals Work with data analysts to develop detailed reports and visualizations that communicate key insights and support leadership decision-making Extract and synthesize information from federal databases, available industry databases, and open-source repositories to inform models and recommendations Ensure compliance with DoD acquisition and cost-estimating policies (e.g., PPBE, 5000-series, JCIDS) throughout the acquisition lifecycle Lead or contribute to economic and resource allocation studies, including metric development, data collection, scenario evaluation, and presentation of results to senior leaders Identify and recommend improvements to financial reporting processes, planning systems, and operational efficiency REQUIREMENTS: Bachelor's degree in Operations Research, Applied Mathematics, Statistics, Engineering, Economics, Finance, or related field 3+ years' experience in operations research, cost analysis, data analysis, or financial modeling — preferably supporting DoD, government acquisition, or large-scale IT and health system programs Demonstrated ability to apply quantitative methods (e.g., optimization, simulation, statistical modeling) using tools such as Python, R, MATLAB, Excel, and Arena to analyze systems and support decision-making Proficiency in advanced Excel and SQL, with experience developing and interpreting models for affordability assessments, cost estimation, lifecycle cost analysis, forecasting, and trade-space evaluations Strong understanding of financial principles, including budgeting, forecasting, and cost-benefit analysis, and their application to strategic planning and acquisition decisions Knowledge of large-scale IT system architectures and associated lifecycle costs, with the ability to evaluate system-level tradeoffs in cost, schedule, and performance Experience with financial systems such as OneStream, SAP, or Workday, and visualization platforms like Power BI or Tableau to develop actionable reporting for decision-makers Strong communication skills with a proven ability to present analytical findings, data-driven recommendations, and financial scenarios to senior leadership and cross-functional teams Experience working collaboratively across finance, procurement, technical, and IT teams to provide data quality, consistency, and integration across systems Skilled in navigating and extracting data from federal and industry databases (e.g., FPDS, SAM.gov, GAO, KLAS, Statistica), reports, or similar Demonstrated adaptability and problem-solving ability in a dynamic, mission-driven environment, with a track record of managing multiple priorities and shifting scopes Strong interpersonal skills and a consultative approach when engaging with stakeholders and clients PREFERRED QUALIFICATIONS: Master's degree in Operations Research, Industrial Engineering, Applied Mathematics, Economics, Data Science, or a related discipline Experience with electronic health records (EHRs), health IT systems, or relevant standards Familiarity with DoD acquisition, contracting, and budgeting processes, including the Planning, Programming, Budgeting, and Execution (PPBE) process and DoD 5000-series Familiarity with cost estimation tools such as ACEIT, SEER, or PRICE Knowledge of agile acquisition, rapid prototyping, or adaptive planning environments Experience developing novel analytical approaches or research designs to solve complex cost or planning challenges Understanding of health IT acquisition trends, vendor capabilities, and data interoperability requirements SALARY: Salary is commensurate with both location and experience. THE AM EMPLOYEE WILL DISPLAY… Attention to Detail: Produce high-quality deliverables and outputs that align with contract outcomes. Self-Sufficiency: Execute tasks independently, seeking client assistance only after internal resources are exhausted, ensuring requests align with contract goals. Teamwork: Collaborate effectively with team members, including AMC resources, subcontractors, and government stakeholders. Communication/Engagement: Maintain professional conduct in meetings and written communication, participating actively with cameras on. Responsiveness: Stay engaged, communicate promptly, and ensure deadlines are consistently met. ABOUT ANDREW MORGAN… Andrew Morgan LLC, founded in 2017 and headquartered in Alexandria, VA, is a Service-Disabled Veteran Owned Small Business (SDVOSB) and a certified HUBZone Small Business. We specialize in delivering high-quality consulting services to both federal and commercial clients, offering expertise in Strategy and Management Consulting, Technology & Architecture Services, and Industry & Mission Analytics Solutions. Our distinguished clientele includes the Department of Veterans Affairs (VA), National Aeronautics and Space Administration (NASA), the Department of Defense (DoD), and the United Stated Army Corps of Engineers (USACE). We are committed to providing innovative solutions and exceptional service to support our clients' missions and objectives. BENEFITS: 15 days of Paid Time Off + 11 Paid Federal Holidays 401K Program (up to 5% employer matching) Three Gold Healthcare Options (with 75%-90% employer-paid premiums) Flexible Spending Account / Dependent Care Assistance Program Employer Paid Short Term Disability Professional Training and Development Corporate Team Building Events And MORE! Join AM Today! EQUAL OPPORTUNITY EMPLOYER: Andrew Morgan does not discriminate in employment opportunities, terms and conditions of employment, or practices. All qualified applicants will receive consideration for employment without regard to race, age, gender, religious or political beliefs, national origin or heritage, disability, sexual orientation, protected veteran status, or any characteristic protected by law.

🏢 Summary: Lead Data Engineer serving as an SME to design, implement, and sustain secure, automated data pipelines supporting mission systems across a government software ecosystem. The role focuses on building scalable ETL workflows, defining data exchange interfaces, and ensuring interoperability and RMF compliance in highly regulated environments. You will enable reliable ingestion, transformation, and dissemination of mission-critical data across internal and external systems. 🗂️ Requirements: Bachelor’s degree with 9+ years of experience or Master’s with 7+ years or PhD/JD with 4+ years in relevant field, 7+ years experience in software engineering, systems integration, or platform implementation in DoD, IC, SAP/SCI, or similar environments, Experience designing or implementing data pipelines, ETL workflows, or data integration architectures, Experience with structured and semi-structured data formats, Active Top Secret clearance with ability to obtain SCI and Special Program access, Willingness to undergo polygraph examination 📃 Skills: Python, ETL, JSON, CSV, XML, Apache, NiFi, Airflow, Pandas, NumPy, REST, RMF, PPSM, Palantir, Foundry 🏢 Description: Job Description Seeking a Lead Data Engineer / Mission Data Pipeline to serve as a Subject Matter Expert (SME). You will work directly with government, technical, and industry stakeholders design, implement, and sustain data pipelines that ingest, transform, store, and distribute mission-relevant data across the DIFC2 software ecosystem and external mission partner systems/ You will support the development and delivery of software capabilities that improve data accessibility, mission integration, operational visibility, and cross-system interoperability across a highly dynamic mission environment. The focuses on enabling reliable, automated, and secure data flows that support mission capabilities on operational timelines. This position requires collaboration with mission system stakeholders, platform engineers, and security teams to define data exchange artifacts, develop pipeline implementations, and ensure interfaces comply with Risk Management Framework (RMF) requirements. The engineer will leverage both low-code/no-code ETL technologies and custom software development to implement scalable data pipelines that support the data architecture. Typical job responsibilities Include: Mission-Relevant Data Artifact Identification: Analyze mission workflows and system architecture to identify the data artifacts required to support operational capabilities. Define the structure, semantics, and lifecycle of mission data products within the data architecture. Ensure data artifacts align with architectural standards for interoperability, traceability, and reuse across mission components. Coordinate with External Stakeholders: Serve as the primary technical liaison for defining data exchange interfaces between mission systems. Collaborate with mission partners to define message schemas, data formats, transport mechanisms, and interface expectations. Document data interface specifications to support both system integration and operational sustainment. RMF & Security Documentation Support: Support the RMF process by defining technical details for machine-to-machine data interfaces. Produce or contribute to required RMF artifacts including: Data message descriptions Ports, Protocols, and Services Management (PPSM) entries System topology diagrams and interface documentation Coordinate with cybersecurity engineers to ensure pipeline implementations meet DoW security and compliance requirements. Data Pipeline Development & Sustainment: Design and implement automated data pipelines that ingest, transform, persist, and expose data artifacts for use by internal and external stakeholders. Utilize government-provided data platform infrastructure to build scalable ETL workflows. Develop custom transformation logic when required using appropriate programming languages and data processing frameworks. Expose processed data products through standardized service interfaces such as REST APIs or platform-native services. Data Pipeline Development & Sustainment: Implement data validation, normalization, and transformation logic to ensure accuracy and usability of integrated datasets. Troubleshoot data pipeline failures and implement monitoring, logging, and recovery mechanisms. Optimize pipeline performance to support mission timelines and large-scale data processing requirements. Deliverables & Key Projects Design and implementation of production data pipelines enabling automated ingestion and dissemination of mission data across systems. Technical documentation describing data artifacts, including purpose and operational relevance, source systems and ingestion methods, transformation logic, and destination systems and access interfaces Interface documentation supporting integration with external mission partners. RMF technical artifacts supporting security authorization of data interfaces. Continuous improvement and sustainment of the data pipeline ecosystem to support evolving mission needs. Qualifications 9 years of experience and a Bachelor's degree in Computer Science, Software Engineering, Management Information Systems/Information Systems, or a related discipline; or a Master's degree and 7 years of experience; or a PhD/JD and 4 years of experience. 7+ years of experience supporting software engineering, systems integration, platform implementation, or application development efforts within DoD, IC, SAP/SCI, or other complex mission environments. Experience designing or implementing data pipelines, ETL workflows, or data integration architectures. Experience working with structured and semi-structured data formats (JSON, CSV, XML, etc.). Requires an active Top Secret clearance with the ability to obtain and maintain Sensitive Compartmented Information and Special Program access, as well as a willingness to consent to a polygraph examination. You will wow us even more if you have experience will the following: Proficiency with low-code/no-code data orchestration technologies such as Apache NiFi, Apache Airflow, or similar ETL orchestration tools. Experience implementing data transformation logic using Python and data processing libraries such as Pandas and NumPy. Certification or demonstrated experience as a Palantir Foundry Data Engineer, including use of Code Repositories, Pipeline Builder, AIP Logic, and other platform-relevant technologies Experience designing pipelines that process and fuse large-scale datasets from multiple sources. Familiarity with DoW data architectures, mission system integration, or data interoperability frameworks. Ability to communicate effectively with engineers, architects, operators, and senior Government leadership while translating technical concepts into mission-relevant value. Proven ability to work in highly regulated, fast-moving environments where technical excellence, mission responsiveness, and stakeholder coordination are all critical to success. Blue Sky Innovators, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. If you are a qualified job seeker with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access http://www.blueskyinnovators.com as a result of your disability. To request an accommodation, please email us at careers@blueskyinnovators.com and provide your name and contact information. Please note: this is only for job seekers with disabilities requesting an accommodation.

🏢 Summary: The offer is for a senior Database Developer responsible for designing and implementing the data architecture of a federal low-code platform, including data modeling, integrations, migration, and security compliance. The role focuses on building secure, scalable data solutions integrated with multiple federal systems and supporting Authority to Operate requirements. It involves hands-on development within AWS and regulated federal environments. 🗂️ Requirements: Minimum 7 years database development experience, Experience with relational databases (PostgreSQL, Oracle, SQL Server), Experience with at least one non-relational database (MongoDB, DynamoDB, Cosmos DB or equivalent), Hands-on experience with AWS data services within VPC, Experience with data migration in regulated federal systems, Strong REST/JSON API design and integration experience, Knowledge of federal data security standards (FISMA, NIST SP 800-53, NIST SP 800-122), Experience supporting Authority to Operate (ATO) documentation, Experience with data integration pipelines, Experience working in Agile environments, Bachelor’s degree in Computer Science, Information Systems, Data Engineering or related field (or equivalent experience), Ability to obtain Public Trust clearance, U.S. Citizenship or Permanent Residency 📃 Skills: PostgreSQL, Oracle, SQL, MongoDB, DynamoDB, CosmosDB, AWS, RDS, Aurora, S3, Glue, Lambda, VPC, REST, JSON, OAuth, API, FISMA, NIST, FIPS, PLSQL, JIRA, Confluence 🏢 Description: At i360technologies, we deliver business consulting and technology solutions that support the mission of federal agencies. We are Database Developer to design and implement the data architecture supporting the federal agency's BOAT low-code platform. This role is responsible for data modeling, integration, migration, and ensuring secure, scalable data operations aligned with federal data and security requirements. Implements data model, data platform read/write, external API consumers, file metadata schema, and Data Migration Plan if applicable. Supports data security controls and ATO data-handling artifacts. Own the data and integration backbone of the BOAT platform for client. Design and implement the data model, file metadata schema, data platform read / write integrations, and external API consumers that connect BOAT to the pilot Program and the broader registration, inspection, compliance, and enforcement data ecosystem (SafeSpect, State PCR Repository, ELD data, TruData, CCFP Analysis Datamart). Produce the Data Migration Plan when applicable and lead all data-handling artifacts that support Authority to Operate (ATO). Key Responsibilities Design and implement the BOAT data model supporting case management, dynamic data collection, role-based access, and persona-based reporting and analytics for the pilot Program. Build read / write integrations with the client data platform; implement external API consumers to ingest data from SafeSpect, State PCR repositories, ELD feeds, and other authoritative sources. Implement the file metadata schema for narrative reports, images, video, and other artifacts uploaded through the BOAT submission interface; ensure metadata associates each file to the correct case record. Author the Data Migration Plan when applicable — source-system profiling, mapping, transformation rules, validation, and rollback strategy — with delivery at the end of Discovery (Week 2). Implement and document data-security controls aligned to client policy, NIST SP 800-53, NIST SP 800-122 PII protection, and FIPS 140-2 encryption; produce data-handling evidence for the A&A artifact pack. Cross-train on BOAT platform configuration during Discovery and pair regularly with the Senior Software Developer to mitigate single-point-of-failure risk on platform-specific work. Support performance testing in Sprint 5 — query optimization, indexing, data volume profiling, concurrency tuning — and execute remediation in Sprint 6. Contribute to the Detailed Technical Design Document and the User Guide with data-layer architecture, schemas, integration contracts, and operations guidance. Sustain the data layer across option periods — refactor only where unique business rules require it; reuse and normalize patterns across applications to reduce long-term maintenance cost. Qualifications Minimum 7 years of hands-on database development experience across relational engines (PostgreSQL, Oracle, SQL Server) and at least one document or non-relational store (MongoDB, DynamoDB, Cosmos DB, or equivalent). NOTE: this may changed based on Doug's LC selection Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related discipline (or equivalent professional experience). Demonstrated hands-on experience with AWS data services — RDS, Aurora, DynamoDB, S3, Glue, Lambda, or comparable — operating inside an AWS Virtual Private Cloud (VPC). Demonstrated data migration experience on regulated federal systems — including source profiling, schema mapping, transformation, validation, and rollback. Strong API design and integration experience — REST / JSON, OAuth, API gateways, message-based integration patterns. Working knowledge of federal data security and privacy requirements: FISMA, Privacy Act of 1974, NIST SP 800-53, NIST SP 800-122, DOT Order 1351.37, and Sensitive PII handling. Experience supporting Authority to Operate (ATO) — producing data-layer evidence for system security plans, control narratives, and continuous monitoring. Experience with APIs and data integration pipelines Experience working in agile development environments Preferred Qualifications Hands-on experience with the proposed BOAT platform's data layer (Power Platform / Dataverse, Unqork, Appian, ServiceNow, or equivalent). Experience with regulated mission data sets. Familiarity with Login.gov or other federated identity solutions and how they propagate into row-level / role-based data access. Performance-tuning expertise on Oracle 19c PL/SQL, SQL Server, or PostgreSQL for high-volume federal workloads. Familiarity with SAFe Agile, two-week sprint cadence, and the JIRA / Confluence toolchain. Key Attributes Strong analytical and data design skills Ability to work across application, integration, and analytics layers Detail-oriented with focus on data quality and performance Security & Eligibility Requirements Ability to obtain and maintain a federal Public Trust (suitability) clearance Must be able to pass a federal background investigation U.S. Citizenship or Permanent Residency required (no visa sponsorship available) Benefits Holidays - Eleven Adoption Assistance Retirement Plan (401k) Matching Tuition Reimbursement Family Leave, Maternity, Paternity Short-Term & Long-Term Disability Life Insurance (Basic, Voluntary & AD&D) Health Care Plan (Medical, Dental & Vision) Paid Time Off (0-3 years - 15 Days PTO | 3+ years 20 Days) Equal Opportunity Employer Minority/Female/Veteran/Disability All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or status within any other protected group. Only direct applicants will be considered. Submissions from recruiting or staffing firms will not be accepted.

🏢 Summary: Senior Data Engineer role focused on building and scaling a cloud-native data platform and MLOps ecosystem, including data lakes, warehouses, and production-grade ML infrastructure. The position involves designing scalable data pipelines, operationalizing machine learning models, and implementing CI/CD for data and ML workflows in a modern cloud environment. 🗂️ Requirements: Bachelor’s or Master’s degree in Computer Science, Information Systems, or related technical field, 5+ years of experience as a Data Engineer in data and analytics environments, Strong proficiency in data modeling concepts and techniques, Hands-on experience building ETL/ELT pipelines using PySpark, Advanced Python programming skills, Advanced SQL skills including query optimization, Experience with Databricks and cloud data warehousing solutions, Experience operationalizing machine-learning models in production, Hands-on experience with ML tooling (e.g., MLflow, SageMaker, Databricks ML, Kubeflow), Experience implementing CI/CD pipelines for data and ML workflows, Experience containerizing workloads using Docker, Ability to write, test, and debug RESTful APIs, Understanding of model lifecycle management, data versioning, and feature stores, Experience with data quality initiatives such as MDM 📃 Skills: Python, SQL, PySpark, Databricks, S3, Redshift, BigQuery, MLflow, SageMaker, Kubeflow, Docker, CI/CD, REST, MDM, AWS 🏢 Description: Job Description We are looking for a Senior Data Engineer to help evolve and scale our modern data ecosystem, including our data lake, data warehouse, and machine-learning enablement platforms. This role will contribute to the company’s data-driven culture, bring innovative approaches to cloud-native engineering, and help advance our MLOps capabilities to support production-grade AI/ML initiatives. You will collaborate closely with data scientists, analytics engineers, and cross-functional partners to deliver reliable, high-quality data and operationalized machine-learning solutions. Responsibilities Designs and builds scalable data extracts, integrations, transformations, and data models. Ensures successful deployment and provisioning of data solutions across required environments. Designs and implements data architectures and applications that enable speed, quality, and operational efficiency. Interacts with cross-functional stakeholders to gather and define requirements and translate them into technical designs. Develops deep familiarity with enterprise datasets, builds domain knowledge, and advances data quality. Reviews requirements, identifies gaps, and drives resolution with stakeholders. Identifies and recommends continuous improvement opportunities, ensuring integrations are automated, governed, and observable. Serves as a key team member in designing and deploying a ground-up cloud data platform and pipeline. Partners with data scientists to design, build, and maintain reproducible machine-learning pipelines, including feature engineering, model training, validation, deployment, and monitoring. Implements CI/CD for data and ML workflows (model packaging, automated testing, environment management, release automation). Builds and maintains production-grade ML infrastructure such as feature stores, model registries, data versioning, and experiment tracking frameworks (e.g., MLflow). Ensures ML models follow best-practice governance, including automated model performance monitoring, drift detection, logging, observability, and alerting. Designs scalable data pipelines optimized for ML workloads, such as batch, streaming, and real-time inference use cases. Establishes MLOps standards, coding practices, and automation patterns that scale across teams. Qualifications Bachelor or Master`s degree in technical discipline such as Computer Science, Information Systems or another technical field People person, team player with a strong can-do mentality 5+ years of experience as a Data Engineer within a data and analytics environment. Strong interpersonal skills with a collaborative, proactive, and solution-driven mindset. Proficiency in data modeling concepts and techniques. Expertise with Databricks and other cloud data warehousing solutions such as S3, Redshift, or BigQuery. Hands-on experience building data pipelines and ETL/ELT workflows using PySpark for semi-structured data (merge, delete, combine, wrangling). Advanced knowledge of Python and advanced working SQL skills including query optimization. Ability to write, test, and debug RESTful APIs. Experience working in agile, cross-functional environments. Strong analytical, problem-solving, and critical-thinking capabilities. Ability to guide junior engineers and contribute to technical design reviews. Strong communication skills with the ability to present complex concepts clearly. Experience in data quality initiatives such as Master Data Management (MDM). Experience operationalizing machine-learning models in production environments. Hands-on experience with ML tooling such as MLflow, SageMaker, Databricks ML, Kubeflow, or similar. Experience implementing CI/CD pipelines for data and ML workloads, including automated testing, deployment pipelines, and environment configuration. Understanding of model lifecycle management, data versioning, feature store design, and model monitoring concepts. Experience containerizing ML workloads using Docker and deploying them via cloud-native services or orchestrators. Familiarity with monitoring frameworks, experiment tracking, and performance observability for ML models. Highly Desired AWS certifications (any): DevOps experience with CICD & unit/integration testing, Docker containerization, workflow orchestration Databricks certifications – Associate/Professional AWS Certified Solutions Architect – Associate/Professional AWS Certified Developer – Associate/Professional AWS Certified DevOps Engineer AWS Certified Solutions Architect AWS Certified Data Analytics AWS Certified Security - Specialty AWS Certified Cloud Practitioner #LI-JC1The anticipated pay scale for this position can be found below, however the pay range applicable to you may vary by geographic location based on where the job is located or where you work. The final pay offered to a successful candidate will be dependent on several factors that may include but are not limited to the type and years of experience within the job, the type of years and experience within the industry, education, etc. iHerb, LLC is a multi-state employer and this pay scale may not reflect positions that work in other states or locations.Employees (and their families) that meet eligibility criteria as outlined in applicable plan documents are eligible to participate in our medical, dental, vision, and basic life insurance programs and may enroll in our company’s 401(k) plan. Employees will also be eligible for Time Off and Paid Sick Leave pursuant to the company’s policies. Employees will enjoy paid holidays throughout the calendar year. Eligibility requirements for these benefits will be controlled by applicable plan documents. Hired applicant may be awarded Restrict Stock Units and receive annual bonuses pursuant to eligibility and performance criteria defined in the respective plan documents and policies. For more information on iHerb benefits, visit us at iHerbBenefits.com.Anticipated Pay Scale:$116,000—$170,000 USD Staffing Agency Submission Notice iHerb does not accept unsolicited 3rd party ("Agency") candidates. If you are an Agency, please send any requests to be considered as a supplier in our Vendor Management System to staffingvendors@iherb.com. Do not contact iHerb employees directly. If requested to work on a role, any Agency candidates would be presented through the internal recruiting organization. About iHerbiHerb is on a mission to make health and wellness accessible to all. We offer Earth’s best-curated selection of health and wellness products, at the best possible value, delivered with the most convenient experience.We’re the world’s largest eCommerce platform dedicated to vitamins, minerals, and supplements, and other health and wellness products. For more than 25 years, we’ve been making it simple for people all over the world to purchase the highest quality products. From supplements to skincare to grocery items, we ship over 50,000 products, from over 1,800 brands direct to our customers in 180+ countries.Our vision is to become the #1 destination for health and wellness across the world.With a passion for wellness and a mind for innovative solutions, iHerb team members share a vision for a healthier world that drives them each day. Our 5 Shared Values unite our global team: Focus on the Customer · Empower Our People · Be Entrepreneurial & Pivot Quickly · Embrace Diversity & Inclusion · Strive for Simplicity iHerb BenefitsAt iHerb, we are dedicated to offering programs designed to help our employees and their families stay healthy, live well, and plan for their financial future. Built on a strong foundation, our programs provide options and upgrades with flexibility, protection, and security in mind. For the comprehensive benefits list, visit www.iHerbBenefits.com. For our international team members, you may be eligible for benefits depending on the country where you are employed. The Talent Acquisition Partner/local HR representative will go over the benefits you are eligible for. iHerb is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. iHerb provides equal employment opportunities to all applicants for employment and prohibits discrimination and harassment.

🏢 Summary: Junior SQL Server Database Engineer role focused on supporting and administering mission-critical 24/7 production databases in a banking environment. The position involves performance tuning, HA/DR implementation, ETL optimization, security hardening, and collaboration with cross-functional teams in a fast-paced setting. The role also includes scripting, cloud exposure, and database modernization initiatives. 🗂️ Requirements: Bachelor's degree in Computer Science or equivalent, 0–1 year experience in SQL Server database administration, Experience with Microsoft SQL Server 2019/2022, Experience with Windows Server 2019/2022 and RHEL 8.x/9.x, Hands-on experience with TSQL and PL/SQL, Experience with PowerShell, Shell scripting, or Python, Experience implementing HA/DR solutions such as Always On Availability Groups, Experience with SSIS, SSAS, and SSRS, Strong ETL/ELT experience, Experience with cybersecurity tools such as CyberArk, CrowdStrike, Qualys, and Tufin, Experience with backup encryption and TLS implementation, Ability to support 24/7 production environments 📃 Skills: SQL, SQLServer, TSQL, PLSQL, SSIS, SSAS, SSRS, ETL, ELT, PowerShell, Python, Shell, WindowsServer, RHEL, AlwaysOn, HADR, AWS, S3, CyberArk, CrowdStrike, Qualys, Tufin, Delphix, TLS, CIS, SCOM, SolarWinds, ServiceNow 🏢 Description: Overview IDB Bank is seeking for a Junior SQL Server database engineer to support commercial bank application databases and perform production database administration. Candidate with 0 to 1 year of experience. This position is responsible to work closely with both onshore and offshore cross-functional team members. This is a fast-paced environment and forward-thinking skills are essential. Good team player skills, production support 24/7, Hygiene maintenance, Performance tuning and possible cloud exposure are essential to perform the job function. Primary Responsibilities Serve as Onshore DBA for bank data infrastructure, and data architecture to assist mission critical 24X7 production databases with Microsoft SQL Server Partnership effectively with application development, production application support teams to optimize the performance of the various application's databases. Advocate database objects design such as Partition tables, Triggers, Index analysis, Stored Procedures, Views turning, User defined functions, and various data types. Implement and support High Availability and Disaster Recovery (HA-DR) automated solutions such as SQL Server – Always on Availability Groups to sync Production and disaster recovery environments Participate annual disaster recovery test planning and execute to achieve successful result to have bank on-premise data infrastructure robust and resilient Partnership with Cybersecurity and Infrastructure team members to implement monthly critical patching, Upgrade, Cloning, building best practices documentation and Database Migrations. Implement CIS security standards to hardening the data infrastructure Weekly basis time sheet submission and providing status report for various projects are key to perform the job function. Candidate will follow SDLC standards, change control best practices, assist internal and external audits. Candidate should have previous experience or adopt to fast-paced environment (High volume of work, Rapid changes, tight deadlines, urgency and multitasking) Implement SQL Server - SSIS, SSAS and SSRS product features. Should have strong ETL, ELT experience to optimize the data warehouse batch jobs to narrow the execution of the data load Implement Backup encryption, TLS certificates to encrypt the communication in the data infrastructure and Hygiene best practice implementation to secure the daily, weekly and monthly backups in AWS-S3 storage Collaborate with third party fintech vendors to modernize, portfolio optimization and rationalization of the database estate Candidate will implement dynamic data masking through tools such as Delphix to virtualize the database environment with masked data in non-production environment to secure bank data infrastructure Candidate should have hands on experience with PowerShell, Shell scripts, Python, TSQL, PL/SQL programming to review the code and optimize as necessary. Advocate cross functional team Experience with Cybersecurity tools such as CyberArk, Crowd Strike, Qualys scan and Firewall - tufin implementation are mandatory Required Qualifications & Skills Bachelor's degree in Computer Science or equivalent. Large scale database integration experience in an Agile model Self-motivated when it comes to multitasking and development planning Great communication skills and confidence to manage up RDBMS: SQL Server 2022, and 2019 RDBMS versions Operating System: Windows 2019, 2022, RHEL 8.x, 9.x Nice to Have: Exposure with F5 Load balancer implementation to route the sessions in HA-DR environment and advance database features such as Transparent data encryption (TDE), Policy management, Resource Governor, and Extended events Exposure with data center migration from on-premise to cloud is a plus Exposure with NoSQL products: Apache Ignite, SQL Lite, MongoDB, and Cassandra, Couchbase AWS or Azure cloud certification and previous implementation in AWS – Databricks, Data Warehouse, Data Lakehouse or Snowflake in public cloud Implement database monitoring using tools such as System Center Operations Manager (SCOM), Nice Management Pack configuration for Oracle DB instance and SolarWinds monitoring and alerts to create auto tickets in ServiceNow Exposure with Artificial Intelligence and Machine Learning experience in data engineering is a plus Compensation The expected annual salary for this position is between $70,000 and $80,000 at the start of employment. A salary offer is determined on an individualized basis, taking into consideration factors such as an individual's skills and experience. In addition to base salary, our total rewards package also includes eligibility for an annual bonus, medical, pharmacy, dental, and vision plans, life and disability insurance, employee wellness program, retirement and savings plans with employer contributions, generous holiday and paid time off schedules, parental leave, and tuition reimbursement. Additional information The Bank will make reasonable accommodations to the following employees to allow them to perform the essential functions of their position, except where doing so would result in undue hardship to the Bank: Those with a known mental or physical disability. Pregnant individuals and/or individuals with pregnancy or childbirth-related medical conditions. Victims of domestic violence, sex offenses or stalking. Employees with religious observance and practice obligations. Any employee who believes he or she needs an accommodation for any of the above reasons should contact their supervisor or a member of Human Resources to request such an accommodation. In each case, the Bank will engage in a good faith written or oral dialogue concerning the individual's accommodation needs; potential accommodations that may address the individual's accommodation needs, including alternatives to a requested accommodation; and the difficulties that such potential accommodations may pose for the employer. The Bank retains the ultimate discretion to choose the appropriate reasonable accommodation. Upon reaching a final determination at the conclusion of the cooperative dialogue, the Bank will provide the requesting individual with a written final determination identifying any accommodation granted or denied. In addition, the Bank will maintain any information regarding the employee's request and status in the strictest confidence, except as requested by the employee, as required on a need-to-know basis or as otherwise required by law. Disclaimer The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed. All your information will be kept confidential according to EEO guidelines. We are operating on a Hybrid schedule. NO AGENCIES PLEASE. IDB BANK, INCLUDING ITS SUBSIDIARIES AND DIVISIONS, PROVIDES EQUAL EMPLOYMENT OPPORTUNITIES TO ALL EMPLOYEES AND APPLICANTS FOR EMPLOYMENT WITHOUT REGARD TO RACE, COLOR, RELIGION, SEX, SEXUAL ORIENTATION, NATIONAL ORIGIN, AGE, DISABILITY, GENETIC STATUS, CITIZENSHIP STATUS, MARITAL STATUS, MILITARY OR VETERAN STATUS, CURRENT UNEMPLOYMENT OR ANY OTHER LEGALLY PROTECTED CATEGORY IN ACCORDANCE WITH APPLICABLE FEDERAL, STATE AND LOCAL LAW. NOTHING IN THIS SITE CONSTITUTES A PROMISE OR OFFER OF EMPLOYMENT. Kindly review our Privacy Notice and GLBA Consumer Privacy Notice.

🏢 Summary: The offer is for a DevOps Engineer to build and operate scalable, secure AWS infrastructure for a cloud-native AI Talent Intelligence Platform. The role focuses on production-grade infrastructure, CI/CD automation, observability, security, cost optimization, and ML/AI workload support. It involves full ownership of AWS environments across development and production with strong emphasis on reliability and compliance. 🗂️ Requirements: 5+ years of production infrastructure experience, 3+ years of hands-on AWS experience, Strong experience with AWS services: RDS Postgres, VPC, IAM, ECS or EKS, ALB/NLB, Route53, S3, CloudFront, CloudWatch, Secrets Manager, Advanced Terraform usage: modules, remote state, drift detection, multi-environment setups, Experience building and maintaining CI/CD pipelines (GitHub Actions or equivalent), Proficiency with Linux and containerization, Experience implementing observability: metrics, logs, traces, alerting, On-call and incident management experience, PostgreSQL operations knowledge: backups, migrations, performance tuning, Security best practices: IAM policies, secret management, encryption, AWS cost monitoring and optimization, English proficiency Intermediate+ or higher 📃 Skills: AWS, RDS, PostgreSQL, EC2, ECS, EKS, VPC, IAM, Route53, S3, CloudFront, CloudWatch, SecretsManager, ACM, SES, Terraform, GitHubActions, Linux, Docker, Grafana, Datadog, CI/CD, ALB, NLB, TLS 🏢 Description: Andersen is hiring a DevOps Engineer in the EU for a project building cloud-native AI platforms and ensuring scalable, secure, and reliable infrastructure. The customer is an international company focused on delivering innovative digital solutions and technology-driven services. The organization supports businesses in improving operational efficiency, streamlining processes, and accelerating digital transformation initiatives. By leveraging modern technologies and industry best practices, the company develops scalable and secure solutions tailored to evolving business needs. The customer operates in a dynamic environment, emphasizing innovation, collaboration, and the continuous enhancement of products and services to create long-term value for its clients. The project is focused on developing a cloud-native Talent Intelligence Platform powered by AI and machine learning technologies. It includes building scalable AWS-based infrastructure, supporting intelligent search and ranking capabilities, and ensuring secure, reliable, and observable platform operations. Responsibilities: Owning AWS infrastructure across dev and prod — RDS (Postgres), EC2/ECS/EKS workloads, VPC, IAM, Route53, S3, CloudFront, Secrets Manager, ACM, SES, CloudWatch. Keeping dev and prod in lockstep — same Terraform modules, same patterns, real environment parity. Running CI/CD — GitHub Actions pipelines across several service repos (backend, frontend, AI/ML, gateway, billing). Trunk-based, feature-flagged, main always deployable. Codifying infrastructure — Terraform for everything that touches AWS. No click-ops. Managing observability — metrics, logs, traces, alerting. CloudWatch + Grafana/Datadog (your call, with budget). SLOs that matter. Participating in incident response — on the rotation. Writing runbooks. Leading blameless postmortems. Managing cost control — monthly bill review, right-sizing, Savings Plans / RIs, S3 lifecycle, RDS tuning. Catching anomalies before finance does. Ensuring security & compliance — IAM least-privilege, secrets rotation, vulnerability scanning, GDPR-aligned data handling with EU-resident third-party providers, backup/DR testing. Supporting ML/AI infrastructure — model serving latency budgets, embedding storage, GPU/CPU tradeoffs, A/B infrastructure for ranking experiments. Managing database operations — RDS upgrades, parameter tuning, backward-compatible migrations, read replicas, PITR. Must-have: Experience running production infrastructure for 5+ years. Experience working with AWS for 3+ years. Hands-on with: RDS Postgres, VPC networking, IAM, ECS or EKS, ALB/NLB, Route53, S3, CloudFront, CloudWatch, Secrets Manager. Terraform in anger — modules, remote state, drift detection, multi-environment. CI/CD — GitHub Actions or equivalent. Linux + containers — Docker, image hygiene, sensible base images, multi-stage builds. Observability — metrics, logs, traces, and alerting. Incident command — on-call experience, leading incidents, writing postmortems. PostgreSQL operations — backups, migrations, query performance basics, RDS quirks. Security fundamentals — IAM policy writing, secret management, TLS, encrypted-at-rest by default. Cost awareness — monitoring and optimizing AWS infrastructure costs. Level of English – from Intermediate+ and above. Nice to haves: Experience with Keycloak in production environments. Experience with Vespa, Elasticsearch, OpenSearch, or other search infrastructure. Experience with AWS Bedrock or other managed AI tooling. Experience with ML serving using SageMaker, Bedrock, or self-hosted GPU inference. Experience with GDPR compliance and EU data residency requirements. Experience with Helm, Kustomize, and ArgoCD. FinOps mindset — tagging strategy, showback, and anomaly detection. Reasons why this job would be interesting to you: Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc.. The opportunity to change the project and/or develop expertise in an interesting business domain. Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee. The opportunity to earn up to an additional 1,000 USD per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities. Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated. Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies). Certification compensation (AWS, PMP, etc). Referral program. Private health insurance and compensation for sports activities. Your personal data is protected in accordance with GDPR regulations. Learn more: https://andersenlab.com/privacy-policy/pl Join us! https://people.andersenlab.com/